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AlgoChains

AlgoChains MCP Server

Official
by AlgoChains

run_mcpt_pipeline

Idempotent

Automate the MCPT marketplace pipeline: check edge decay, graduate 30-day paper trades, audit re-validation, generate marketplace JSON, and deliver Slack summaries.

Instructions

Run the MCPT marketplace autopilot pipeline. Steps: decay (check edge decay), graduate (30-day paper trading gates), audit (batch MCPT re-validation), listing (generate marketplace JSON), slack (post summary to #quant-lab). Calls scripts/mcpt_autopilot.py.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepNoall
dry_runNoASSP: default true — report only, no writes. Set false only with owner_token.
no_desktopNo
owner_tokenNoRequired when dry_run=false

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed3 schema fields changedv22.7.3
    • changedInput schema / properties / dry_run / default
      Previous value: -falseNew value: +true
    • changedInput schema / properties / dry_run / description
      Previous value: -"Report only, no writes"New value: +"ASSP: default true — report only, no writes. Set false only with owner_token."
    • addedInput schema / properties / owner_token
      Added value: +{
      +  "description": "Required when dry_run=false",
      +  "type": "string"
      +}
  2. First observedv22.7.1

TDQS

A3.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already signal mutability, open-world interaction, idempotency, and non-destructiveness; the description adds concrete behavioral detail by naming side-effectful steps (generate marketplace JSON, post summary to #quant-lab) and the backing script. It doesn't spell out permission needs, but the schema covers owner_token and the annotations carry the safety profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three compact sentences front-load the purpose, then use a scannable step list, then add a useful implementation pointer. Every sentence earns its place with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description captures the pipeline shape and the schema handles the safety-critical dry_run/owner_token parameters. It is incomplete around return/result expectations (no output schema), the 'sync' and 'all' step values, the no_desktop flag, and how this differs from run_marketplace_autopilot.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema documents dry_run and owner_token but not step or no_desktop; the description compensates for step by explaining decay, graduate, audit, listing, and slack, though it omits 'sync' and 'all'. no_desktop receives no semantic help from either source, leaving a real gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Run') and resource ('MCPT marketplace autopilot pipeline') and enumerates concrete pipeline stages. It does not expand the MCPT abbreviation or distinguish itself from the similarly named sibling run_marketplace_autopilot, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The step list gives useful operational context and implies this is the tool for running the full/staged MCPT pipeline. However, it never explicitly says when to choose this over run_marketplace_autopilot or other marketplace tools, and it names no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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